Engineering Statistics, 5th Edition

Montgomery, Runger, and Hubele’s 5th edition of Engineering Statistics provides modern coverage of engineering statistics by focusing on how statistical tools are integrated into the engineering problem-solving process. All major aspects of engineering statistics are covered, including descriptive statistics, probability and probability distributions, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, and statistical process control. This edition features new introductions, revised content to help students better understand ANOVA, new examples to help calculate probability and approximately 80 new exercises.

Accessible and manageable - presents important topics that can
be covered in one semester

Emphasis on professional practice - students get the coverage
most useful to engineers with strong emphasis on data analysis and
statistical inference with less focus on distributions and
probability

A strong focus on P-value approach to hypothesis testing
familiarizes students with practical approaches to engineering
problems

Provides real engineering situations and applications as well
as real data sets in examples and homework that help motivate
students by applying statistics to the engineering profession

A step-by-step problem solving approach integrated into
examples

Supports an active learning environment - reading questions and
homework problems in WileyPlus help motivate and build student
confidence with instant feedback. The supplemental problems
and team exercises in the text can be used for in-class team
activities, including designing experiments, generating data, and
performing analyses.

End of section exercises are structured to reinforce the
concepts and technigues introduced in each section

End of chapter supplemental exercises integrate concepts and
techniques from multiple sections and reinforce student mastery of
these concepts

Team exercises challenge students to apply chapter methods and
concepts to problems requiring data collection

Software output in MINITAB throughout the text demonstrates the
capability of modern statistical software